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settings. Very good self organization. Desirable Skills Very good knowledge of fluid–structure interaction (FSI). Good experience with digital twins, model updating, or structural dynamics. Understanding
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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Your Job: In this PhD project, you will explore the stability and dynamic behaviour of inverter-based power systems, using state-of-the-art supercomputing infrastructure. You’ll work at the cutting
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XFEL. About your role: Application of storage-ring and FEL-based X-ray scattering methods to BlueMat topics (such as role of confined geometries on structure and dynamics on liquids) In particular
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: PHD Thesis Job description: Your Job: Digital methods for inverse materials design are essential
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website for details: https://www.ifsw.uni-stuttgart.de/en/institute/vacancies Summary of titles and host institutions for the 15 PhD positions: FELLOW 1 (IFSW, Stuttgart, Germany): Design and
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(R1) Positions PhD Positions Country Germany Application Deadline 31 Jan 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Part-time Hours Per Week 29,87 Is the job funded through
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring